Reliability analysis and lifetime prediction methods for mechatronic systems
机电一体化系统的可靠性分析与寿命预测方法

摘要

机电一体化系统广泛应用于现代工业领域，其可靠性与寿命直接影响整体运行效率与安全性。面对复杂工况带来的多重挑战，传统可靠性评估与寿命预测方法在适应性、精度和动态响应方面存在明显不足。通过构建融合数据驱动与物理机制的预测模型，能够更有效地捕捉系统的退化规律，并提升预测的准确性与实用性。基于典型应用场景的实证分析表明，该类模型在实际运行中表现出良好的稳定性与泛化能力，为实现系统的智能运维与全生命周期管理提供了技术支撑。

Abstract

Mechatronic systems are widely applied in modern industrial fields, where their reliability and service life directly affect overall operational efficiency and safety. Traditional reliability assessment and lifetime prediction methods exhibit significant limitations in adaptability, accuracy, and dynamic response under complex working conditions. By constructing a predictive model that integrates data-driven approaches with physical mechanisms, the degradation patterns of the system can be more effectively captured, thereby enhancing the accuracy and practicality of predictions. Empirical analysis based on typical application scenarios demonstrates that such models exhibit strong stability and generalization capability in real-world operations, providing technical support for intelligent maintenance and full lifecycle management of the system.